class_docstr: A class that handles the parameters of Tensor Tracer.
docstr: Returns the string list of a TensorTracer flag.
  
  Args:
    wanted_flag_name: the name of the flag we are looking for.
  
  Returns:
    The list value of the flag.
docstr_tok: ["Returns","the","string","list","of","a","TensorTracer","flag",".","Args",":","wanted_flag_name",":","the","name","of","the","flag","we","are","looking","for",".","Returns",":","The","list","value","of","the","flag","."]
code: def _flag_value_as_list(self, wanted_flag_name):
      """Returns the string list of a TensorTracer flag.
  
      Args:
        wanted_flag_name: the name of the flag we are looking for.
  
      Returns:
        The list value of the flag.
      """
      string_value_list = []
      found, flag_value = self.get_flag_value(wanted_flag_name)
  
      if found:
          assert flag_value is not None
          string_value_list = flag_value.split(",")
      return string_value_list
  
imports: import os
  import os.path
  import re
  from absl import flags
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 14 for calling the TTParameters obj's underlying member method code with example usage: obj._flag_value_as_list(wanted_flag_name) and returns: string_value_list